This presentation for the Third Global Conference on Agricultural Research for Development (GCARD3,Johannesburg, South Africa, 5-8 April 2016) illustrates the topic of competitiveness in Africa smallholders system, focusing on the Integrated Agricultural Research for Development (IAR4D) and Agricultural Innovation Systems (AIS) concepts and on the role of the innovation platforms.
Se evaluó la aceptación de una nueva tecnología de manejo integrado del cultivo de papayo en el ejido Miralejos, municipio de Soledad de Doblado, Veracruz, México. Se encuestaron 32 productores antes y después de asistir a eventos demostrativos en tres parcelas del ejido. El análisis multivariado de componentes principales mostró evidencia significativa que engloba la opinión de los encuestados respecto a los cambios de actitud positiva hacia la tecnología
El aceite de palma es estigmatizado en los mercados mundiales debido a problemas derivados de prácticas de establecimiento que han ocasionado la devastación de grandes extensiones de bosques tropicales en el sudeste de Asia. Este estigma es especialmente evidente en países desarrollados, en donde los consumidores exigen productos respetuosos del medio ambiente. Dicha situación impuso la necesidad de certificar si el aceite de palma que llega a los mercados de altos ingresos proviene de plantaciones que llevan a cabo prácticas sostenibles.
Esta tesis expone un análisis de la cadena de valor del cacao, en su contexto internacional - nacional, y de la cadena de valor de una organización de segundo grado, como UNOCACE, en un marco de tiempo de diez años (2002 – 2012). Los elementos de estudio se basaron en la metodología de acción colectiva de Julio Berdegué y la plataforma RURALTER. Con el fin de exponer el rol determinante de la acción colectiva en las cadenas productivas.
The private sector dominates biotechnology research in industrialized countries, but there are major market failures in developing countries in accessing the new tools and technologies. The public sector, national and international, will have to play a major role in filling this gap. This paper provides an overview of options that countries of different sizes and capacities can employ to gain access to the research tools and technologies that they need to address issues of relevance to poor producers and consumers.
This research aims to add to the literature new insights about the interaction processes, which are implemented in different interactive extension approaches, by analysing how farmers attending different extension events shape a network of indirect interactions
This report reviews the evidence of impact of capacity strengthening on agricultural research for development (AR4D) in developing countries. The study was commissioned by DFID as part of the documentation process of the project Strengthening Capacity for Agricultural Research for Development in Africa (SCARDA).
The level of agricultural productivity in Sub-Saharan Africa remains far below the global average. This is partly due to the scarce use of production- and process-enhancing technologies. This study aims to explore the driving forces and effects of adopting innovative agricultural technologies in food value chains (FVC). These enhancing FVC technologies are referred to as upgrading strategies (UPS) and are designed to improve specific aspects of crop production, postharvest processing, market interaction, and consumption.
The Farmer Field School (FFS) approach has been very successful and witnessed a strong expansion in many areas beyond crop production. Notwithstanding this success, the adoption of FFS in national extension often remains problematic and FFS activities have often been implemented in the margin of national institutions with strong reliance on donor funding. The creation of an enabling environment for institutional support is essential for expanding the effort, improving quality, and strengthening impact and continuity of the FFSs.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.